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PE
2000
Springer
118views Optimization» more  PE 2000»
15 years 6 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
EUROPAR
2008
Springer
15 years 8 months ago
Deque-Free Work-Optimal Parallel STL Algorithms
This paper presents provable work-optimal parallelizations of STL (Standard Template Library) algorithms based on the workstealing technique. Unlike previous approaches where a deq...
Daouda Traoré, Jean-Louis Roch, Nicolas Mai...
ICML
2007
IEEE
16 years 7 months ago
Bayesian actor-critic algorithms
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Mohammad Ghavamzadeh, Yaakov Engel
ICASSP
2007
IEEE
16 years 1 months ago
Spatiotemporal Algorithm for Background Subtraction
Background modeling and subtraction is a fundamental task in many computer vision and video processing applications. We present a novel probabilistic background modeling and subtr...
S. Derin Babacan, Thrasyvoulos N. Pappas
PPSN
1994
Springer
15 years 10 months ago
Convergence Models of Genetic Algorithm Selection Schemes
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
Dirk Thierens, David E. Goldberg